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Valentina Emilia Balas & Souvik Pal 
Healthcare Paradigms in the Internet of Things Ecosystem 

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Health Care Paradigms in the Internet of Things Ecosystem brings all Io T-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand Io T-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable Io T-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in Io T-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for Io T-based health care. It also helps researchers and practitioners understand the e-health care architecture through Io T and the state-of-the-art in Io T countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for Io T-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in Io T-based health care monitoring systems. Presents the complete functional framework workflow in Io T-enabled healthcare technologies Explains concepts of location-aware protocols and decisive mobility in Io T healthcare Provides complete coverage of intelligent data processing and wearable sensor technologies in Io T-enabled healthcare Explores the Human Machine Interface and its implications in patient-care systems in Io T healthcare Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things
€164.53
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لغة الإنجليزية ● شكل EPUB ● صفحات 410 ● ISBN 9780128199206 ● محرر Valentina Emilia Balas & Souvik Pal ● الناشر Elsevier Science ● نشرت 2020 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 7453340 ● حماية النسخ Adobe DRM
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